video_from_webam.py

import cv2
import numpy as np
import imutils
import pytesseract

# read from web camera
cap = cv2.VideoCapture(1)

while True:
    # Read a frame
    _,image = cap.read() 
    img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    img = cv2.GaussianBlur(img, (7,7), 0)

    # perform edge detection, then perform a dilation + erosion to
    # close gaps in between object edges
    edged = cv2.Canny(img, 40, 90)
    dilate = cv2.dilate(edged, None, iterations=2)
    # erode = cv2.erode(dilate, None, iterations=1)

    # create ann empty mask
    mask = np.ones(img.shape[:2], dtype="uint8") * 255

    # find the contours
    cnts,hierarchy = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
    cnts = cnts[0] if imutils.is_cv2() else cnts[1]

    orig = img.copy()
    for c in cnts:
        # if the contour is not sufficiently large, ignore it
        if cv2.contourArea(c) < 200:
            cv2.drawContours(mask, [c], -1, 0, -1)
        
        x,y,w,h = cv2.boundingRect(c)

        # Filter and remove more contours according to your need
        if(w>h):
            cv2.drawContours(mask, [c], -1, 0, -1)

    # Remove ignored contours    
    newimage = cv2.bitwise_and(dilate.copy(), dilate.copy(), mask=mask)
    # Dialte agin if necessay
    img2 = cv2.dilate(newimage, None, iterations=1)
    # Invert threshold for better results
    ret2,th1 = cv2.threshold(img2 ,0,255,cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)

    # Tesseract on the filtered image
    temp = pytesseract.image_to_string(th1)
    # Write text on the image
    cv2.putText(image,temp,(50,100),cv2.FONT_HERSHEY_SIMPLEX,1.0,(0,255,255),3)

    # Show the results
    cv2.imshow('Original image', cv2.resize(image,(640,480)))
    cv2.imshow('Dilated', cv2.resize(dilate,(640,480)))
    cv2.imshow('New Image', cv2.resize(newimage,(640,480)))
    cv2.imshow('Inverted Threshold', cv2.resize(th1,(640,480)))

    # Exit condition
    if cv2.waitKey(1) == ord('q'):
        break

cv2.destroyAllWindows()